Acer Aspire V3-772
Geekbench AI Score
1557
Single Precision Score
1596
Half Precision Score
1792
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jonwienke |
| Upload Date | June 23 2025 03:34 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-4702MQ CPU @ 2.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Acer Aspire V3-772 |
| Motherboard | Acer VA70_HW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4702MQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
954
177.5 IPS |
|
|
Image Classification (HP)
|
100% |
965
179.5 IPS |
|
|
Image Classification (Q)
|
100% |
1095
203.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
980
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1002
16.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1240
20.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2065
2.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2188
2.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
2504
2.94 IPS |
|
|
Object Detection (SP)
|
100% |
947
75.1 IPS |
|
|
Object Detection (HP)
|
100% |
883
70.0 IPS |
|
|
Object Detection (Q)
|
87% |
1178
94.5 IPS |
|
|
Face Detection (SP)
|
100% |
2068
24.6 IPS |
|
|
Face Detection (HP)
|
100% |
2071
24.6 IPS |
|
|
Face Detection (Q)
|
97% |
3241
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2568
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2568
19.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
2817
22.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5844
7.51 IPS |
|
|
Style Transfer (HP)
|
100% |
5836
7.50 IPS |
|
|
Style Transfer (Q)
|
98% |
6766
8.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1169
43.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1178
43.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1344
49.8 IPS |
|
|
Text Classification (SP)
|
100% |
1222
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
1195
1.60 KIPS |
|
|
Text Classification (Q)
|
91% |
635
854.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1038
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1321
22.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1624
28.0 IPS |
